Linear regression is one of the most commonly used algorithms in machine learning. You'll want to get familiar with linear regression because you'll need to use it if you're trying to measure the relationship between two or more continuous values.
A deep dive into the theory and implementation of
Internet marketing has taken over traditional marketing strategies in the recent past. Companies prefer to advertise their products on websites and social media platforms. However, targeting the right audience is still a challenge in online marketing. Spending millions to display the advertisement to the audience that is not likely
One of the most common utilizations of TensorFlow and Keras is the recognition/classification of images. If you want to learn how to use Keras to classify or recognize images, this article will teach you how.
If you aren't clear on the basic concepts behind image recognition, it
Reinforcement Learning is definitely one of the most active and stimulating areas of research in AI.
The interest in this field grew exponentially over the last couple of years, following great (and greatly publicized) advances, such as DeepMind's AlphaGo beating the word champion of GO, and OpenAI AI models
Are you a Python programmer looking to get into machine learning? An excellent place to start your journey is by getting acquainted with Scikit-Learn.
Doing some classification with Scikit-Learn is a straightforward and simple way to start applying what you've learned, to make machine learning concepts concrete by implementing
